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dc.contributor.authorLim, Seung Ji-
dc.contributor.authorKi, Seo Jin-
dc.contributor.authorLim, Jae-Lim-
dc.contributor.authorLee, Kyunghyuk-
dc.contributor.authorKim, Jihye-
dc.contributor.authorMoon, Jeongwoo-
dc.contributor.authorKim, Joon Ha-
dc.date.accessioned2024-01-19T10:33:59Z-
dc.date.available2024-01-19T10:33:59Z-
dc.date.created2023-02-03-
dc.date.issued2022-11-
dc.identifier.issn2077-0375-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/114282-
dc.description.abstractThe numerical study was conducted to compare process performance depending on the pump type and process configuration. The daily monitoring data of seawater temperature and salinity offshore from Daesan, Republic of Korea was used to reflect the site-specific seawater conditions. An algorithm for reverse osmosis in constant permeate mode was developed to simulate the process in time-variant conditions. Two types of pumps with different maximum leachable efficiencies were employed to organize pump-train configuration: separated feed lines and common pressure center design. The results showed pump type and design configuration did not have a significant effect on process performance. The annual means of specific energy consumption (SEC) for every design configuration were under 2 kWh/m(3), except for a worst-case. The worst-case was decided when the pump was operated out of the best operation range. The two operation strategies were evaluated to determine the optimal configuration. The permeate flow rate was reduced to 80% of the designed permeate flow rate with two approaches: feed flow rate reduction in every train and pump shutdown in a specific train. The operation mode with feed flow rate reduction was more efficient than the other. The operating pressure reduction led to a decrease in SEC.-
dc.languageEnglish-
dc.publisherMDPI-
dc.titleOptimization of the Design Configuration and Operation Strategy of Single-Pass Seawater Reverse Osmosis-
dc.typeArticle-
dc.identifier.doi10.3390/membranes12111145-
dc.description.journalClass1-
dc.identifier.bibliographicCitationMembranes, v.12, no.11-
dc.citation.titleMembranes-
dc.citation.volume12-
dc.citation.number11-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000912421200001-
dc.relation.journalWebOfScienceCategoryBiochemistry & Molecular Biology-
dc.relation.journalWebOfScienceCategoryChemistry, Physical-
dc.relation.journalWebOfScienceCategoryEngineering, Chemical-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPolymer Science-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPolymer Science-
dc.type.docTypeArticle-
dc.subject.keywordPlusENERGY-CONSUMPTION-
dc.subject.keywordPlusDESALINATION PLANT-
dc.subject.keywordAuthorreverse osmosis process-
dc.subject.keywordAuthorprocess optimization-
dc.subject.keywordAuthornumerical study-
dc.subject.keywordAuthordesign configuration-
dc.subject.keywordAuthoroperating strategy-
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KIST Article > 2022
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